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The impact of nuclear mass uncertainties on the \emph{r}-process abundances has been systematically studied with the classical \emph{r}-process model by varying the mass of every individual nucleus in the range of $\pm0.1$ to $\pm3.0\ \mathrm{MeV}$ based on six different mass models. A new quantitative relation between the uncertainties of \emph{r}-process abundances and those of the nuclear masses is extracted, i.e., a mass uncertainty of $\pm0.5\ \mathrm{MeV}$ would lead to an abundance uncertainty of a factor around 2.5. It is found that this conclusion holds true for various mass models., 13 pages, 4 figures

Plasma very low-density lipoprotein (VLDL) can be used to select for low body fat or abdominal fat (AF) in broilers, but its correlation with AF is limited. We investigated whether any other biochemical indicator can be used in combination with VLDL for a better selective effect. Nineteen plasma biochemical indicators were measured in male chickens from the Northeast Agricultural University broiler lines divergently selected for AF content (NEAUHLF) in the fed state at 46 and 48 d of age. The average concentration of every parameter for the 2 d was used for statistical analysis. Levels of these 19 plasma biochemical parameters were compared between the lean and fat lines. The phenotypic correlations between these plasma biochemical indicators and AF traits were analyzed. Then, multiple linear regression models were constructed to select the best model used for selecting against AF content. and the heritabilities of plasma indicators contained in the best models were estimated. The results showed that 11 plasma biochemical indicators (triglycerides, total bile acid, total protein, globulin, albumin/globulin, aspartate transaminase, alanine transaminase, gamma-glutamyl transpeptidase, uric acid, creatinine, and VLDL) differed significantly between the lean and fat lines (P < 0.01), and correlated significantly with AF traits (P < 0.05). The best multiple linear regression models based on albumin/globulin, VLDL, triglycerides, globulin, total bile acid, and uric acid, had higher R2 (0.73) than the model based only on VLDL (0.21). The plasma parameters included in the best models had moderate heritability estimates (0.21 ≤ h2 ≤ 0.43). These results indicate that these multiple linear regression models can be used to select for lean broiler chickens.

MicroRNA-1294 (miR-1294) was reported to act as a tumor suppressor in several cancers. However, the biological function of miR-1294 in osteosarcoma (OS) has not been investigated. We, therefore, investigated the clinical significance and underlying mechanisms of miR-1294 in OS.Quantitative Real-Time-Polymerase Chain Reaction (qRT-PCR) was conducted to detect the levels of miR-1294. Targets of miR-1294 were validated by luciferase reporter assay and Western blot. In vitro functional assays were performed to investigate the effects of miR-217 on cell proliferation and invasion.We found miR-1294 was downregulated in OS tissues and cell lines. Downregulation of miR-1294 has a significant negative impact on the overall survival of OS patients. Overexpression of miR-1294 suppresses OS cell proliferation and invasion in vitro. Then, luciferase reporter assay validated Homeobox A9 (HOXA9) was a downstream target of miR-1294. Expression patterns of miR-1294 were inversely correlated with HOXA9 in OS tissues, strengthening the findings from the luciferase reporter assay. Further functional assays revealed that overexpression of HOXA9 could reverse the inhibition effects of miR-1294 on cell proliferation and invasion.These results suggested miR-1294 functions as a tumor suppressor in OS progression by targeting HOXA9.

To explore whether miR-216a-3p could promote differentiation of bone marrow mesenchymal stem cells (BMMSCs) into type II alveolar epithelial cells (ACE II) via Wnt/β-catenin pathway, thereby alleviating neonatal respiratory distress syndrome (NRDS).BMMSCs were directionally differentiated into ACE II cells. Expressions of ACE II cell-specific transcription factors Occludin, KGF, CK18, SpA, SpB, and SpC were detected at the different time points after cell differentiation. Enzyme-linked immunosorbent assay (ELISA) was applied to detect inflammatory factors in the culture medium, including interleukin-1 (IL-1), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), and Interferon-α (INF-α). After overexpression or knockdown of miR-216a-3p in BMMSCs, expressions of ACE II cell-specific transcription factors and inflammatory factors were detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and Western blot. Rescue experiments were carried out after DKK-1 treatment in BMMSCs.Expressions of ACE II cell-specific transcription factors Occludin, KGF, CK18, SpA, SpB, and SpC were elevated with the prolongation of cell differentiation. Overexpression of miR-216a-3p elevated levels of pro-inflammatory factors (IL-1, TNF-α, and INF-α) and reduced anti-inflammatory factor (IL-10). Expressions of ACE II cell-specific transcription factors Occludin, KGF, CK18, SpA, SpB, and SpC were remarkably increased at 7 d and 14 d compared to those detected at 1 d. Overexpression of miR-216a-3p in BMMSCs downregulated Wnt3a expression. The regulatory effect of miR-216a-3p on BMMSCs differentiation was partially reversed by DKK-1 treatment.Knockdown of miR-216a-3p induces differentiation of BMMSCs into ACE II cells through Wnt/β-catenin pathway, thereby alleviating NRDS.

The kinematic viscosity, lubricity, acid number of 928 and 50-1-4Φ aviation lubrication oils are investigated in this paper. Oil samples were oxidized at 150 and 175°C for 120 h to evaluate their performance variation. The results suggest that 928 lubrication oil is easily oxidized and generates acidic products, which increase its acid number. The comparative analysis revealed that 928 lubrication oil tends to react in oxidizing atmosphere, which increases its viscosity, acid number, and weight-bearing performance. Meanwhile, wear scar diameters of both oxidized oil samples were found to be nearly the same.

An investigation on subcritical spheroidization anneal of the cold-rolled 50CrV4 steel at 720 °C has been carried out. During spheroidization anneal, the lamellar cementite was gradually broken down and changed to spherical shape. With prolonging of soaking time, the amount of lamellar cementite decreases gradually, and that of the spheroidized cementite particle increases gradually. The relationship of the spheroidization ratio versus soaking time for the steel can be described by a typically sigmoid curve. Additionally, the cold rolling deformation accelerates the breakup of lamellar cementite and the formation of spheroidal cementite particles during spheroidization anneal of the steel. The more severe the deformation is, the more rapidly the spheroidization occurs. From the results of tensile and hardness test, the yield strength, ultimate tensile strength, and hardness decrease and the percentage elongation to failure increases rapidly during the first 2 h of spheroidization. Between 2 and 8 h, the yield strength, ultimate tensile strength, hardness nearly keep a constant, which are independent of the soaking time, whereas the percentage elongation to failure firstly increases and then decreases with prolonging of soaking time.

In this paper, we construct a novel weighted network named subject categories network from the dataset of readers' borrowing lists in library. We empirically study the statistical properties and take the first step to uncover the topological structure of this network. Our results indicate that subject categories network is strongly heterogeneous and has a small world phenomenon. We also find that: (i) well-connected subjects are typically read more; (ii) subjects with large strength tend to bridge communities; (iii) those connections held large intensity preferably cluster together each other; (iv) it is likely that well-connected subjects have a majority of low-degree neighbors and are linked by edges with larger weights. Finally, through these results, we constructed a simple example of local structure for providing a framework to understand the hierarchies and organization principles in the subject categories system.

The surface of La1/3Ca2/3MnO3 (LCMO) films with thickness, t, ranging from 4 to 150 nm has been studied. Highly ordered palpus-like crystals induced by strain are observed in the films grown on the substrate of SrTiO3 (with thickness t ranging from 20 to 50 nm) and on sapphire (with thickness t ranging from 30 to 50 nm). The strain is identified to result from thermal expansion mismatch between the substrate and the film, and thermal expansion anomaly may exist at a high temperature induced by possible phase transition in LCMO with t = 30 nm. Such a phenomenon may arrest the film growth and the understanding of colossal magnetoresistance materials as well as provide a new way to make ordered structures for applications.

Inflammatory bowel diseases (IBDs) including ulcerative colitis (UC) and Crohn's disease (CD) increased the risk for developing colorectal cancer. However, there is no effective therapy for IBDs. The aim of this study was to identify potential therapeutic targets for inflammatory bowel disease (IBD) and explore the possible mechanism underlying this disease.Gene expression profile GSE6731 was downloaded from Gene Expression Omnibus database, which included 9 UC samples and 19 CD samples. Differentially expressed genes (DEGs) between affected colon tissues and non-affected tissues were identified in UC and CD group. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis of DEGs were performed. Modules in the protein-protein interaction (PPI) network were identified, and significant node genes were selected.Total 619 DEGs including 285 up-regulated genes and 334 down-regulated genes were identified in UC group and total 1159 DEGs of CD including 585 up-regulated genes and 574 down-regulated genes were selected. Module was selected from PPI network. From the PPI network and module, DEGs of mitogen-activated protein kinase 3 (MAPK3), N-myc downstream regulated 1 (NDRG1) and major histocompatibility complex, class II, DR alpha (HLA-DRA) have high degree.MAPK3, NDRG1 and HLA-DRA may play key roles in the progression and development of IBD. They may be used as specific therapeutic targets in the treatment of IBD. However, further experiments are still needed to confirm our results.

The empirical mode decomposition is applied to analyze the intrinsic multi-scale dynamic behaviors of complex financial systems. In this approach, the time series of the price returns of each stock is decomposed into a small number of intrinsic mode functions, which represent the price motion from high frequency to low frequency. These intrinsic mode functions are then grouped into three modes, i.e., the fast mode, medium mode and slow mode. The probability distribution of returns and auto-correlation of volatilities for the fast and medium modes exhibit similar behaviors as those of the full time series, i.e., these characteristics are rather robust in multi time scale. However, the cross-correlation between individual stocks and the return-volatility correlation are time scale dependent. The structure of business sectors is mainly governed by the fast mode when returns are sampled at a couple of days, while by the medium mode when returns are sampled at dozens of days. More importantly, the leverage and anti-leverage effects are dominated by the medium mode.

With the network methods and random matrix theory, we investigate the interaction structure of communities in financial markets. In particular, based on the random matrix decomposition, we clarify that the local interactions between the business sectors (subsectors) are mainly contained in the sector mode. In the sector mode, the average correlation inside the sectors is positive, while that between the sectors is negative. Further, we explore the time evolution of the interaction structure of the business sectors, and observe that the local interaction structure changes dramatically during a financial bubble or crisis., Comment: 15 pages, 10 figures, accepted by Scientific Reports

We investigate the spatial and temporal structures of four financial markets in Greater China. In particular, we uncover different characteristics of the four markets by analyzing the sector and subsector structures which are detected through the random matrix theory. Meanwhile, we observe that the Taiwan and Hongkong stock markets show a negative return-volatility correlation, i.e., the so-called leverage effect. The Shanghai and Shenzhen stock markets are more complicated. Before the year 2000, the two markets exhibit a strong positive return-volatility correlation, which is called the anti-leverage effect. After 2000, however, it gradually changes to the leverage effect. We also find that the recurrence interval distributions of both the trading volume volatilities and price volatilities follow a power law behavior, while the exponents vary among different markets., Comment: 7 figures. Accepted by Physica A

We investigate the large-fluctuation dynamics in financial markets, based on the minute-to-minute and daily data of the Chinese Indices and German DAX. The dynamic relaxation both before and after the large fluctuations is characterized by a power law, and the exponents $p_\pm$ usually vary with the strength of the large fluctuations. The large-fluctuation dynamics is time-reversal symmetric at the time scale in minutes, while asymmetric at the daily time scale. Careful analysis reveals that the time-reversal asymmetry is mainly induced by external forces. It is also the external forces which drive the financial system to a non-stationary state. Different characteristics of the Chinese and German stock markets are uncovered., 17 pages, 8 figures, Accepted by Physica A. arXiv admin note: substantial text overlap with arXiv:1002.3747

With the random matrix theory, we study the spatial structure of the Chinese stock market, American stock market and global market indices. After taking into account the signs of the components in the eigenvectors of the cross-correlation matrix, we detect the subsector structure of the financial systems. The positive and negative subsectors are anti-correlated each other in the corresponding eigenmode. The subsector structure is strong in the Chinese stock market, while somewhat weaker in the American stock market and global market indices. Characteristics of the subsector structures in different markets are revealed., Comment: 6 pages, 2 figures, 4 tables

We investigate the large-volatility dynamics in financial markets, based on the minute-to-minute and daily data of the Chinese Indices and German DAX. The dynamic relaxation both before and after large volatilities is characterized by a power law, and the exponents $p_\pm$ usually vary with the strength of the large volatilities. The large-volatility dynamics is time-reversal symmetric at the time scale in minutes, while asymmetric at the daily time scale. Careful analysis reveals that the time-reversal asymmetry is mainly induced by exogenous events. It is also the exogenous events which drive the financial dynamics to a non-stationary state. Different characteristics of the Chinese and German stock markets are uncovered.

Ion exchanger and ODS bonded silica gel for HPLC packing were prepared. An HPLC method for the analysis of surfactant PS concentration in injected-produced liquor has been established to meet the need of ASP flooding developed in Gudao West Block of Shengli Oilfield, with a minimum detectable limit of 0.4 mg/L, a linear range of 50 mg/L-1,000 mg/L and recoveries of 95.7%-99.8%. This method has provided great technical support in a variety of fields to the design of the prescription for ASP flooding, the regulation of injection measurement, the quality control of products and the study on the mechanism of oil flooding etc.

What is the dominating mechanism of the price dynamics in financial systems is of great interest to scientists. The problem whether and how volatilities affect the price movement draws much attention. Although many efforts have been made, it remains challenging. Physicists usually apply the concepts and methods in statistical physics, such as temporal correlation functions, to study financial dynamics. However, the usual volatility-return correlation function, which is local in time, typically fluctuates around zero. Here we construct dynamic observables nonlocal in time to explore the volatility-return correlation, based on the empirical data of hundreds of individual stocks and 25 stock market indices in different countries. Strikingly, the correlation is discovered to be non-zero, with an amplitude of a few percent and a duration of over two weeks. This result provides compelling evidence that past volatilities nonlocal in time affect future returns. Further, we introduce an agent-based model with a novel mechanism, that is, the asymmetric trading preference in volatile and stable markets, to understand the microscopic origin of the volatility-return correlation nonlocal in time., Comment: 16 pages, 7 figures

We present a novel approach to address one of the technical hurdles the current light-emitting diode (LED) lighting field faces: the packaged efficacy of warm-white LEDs is 20%-30% lower than that of cool-white LEDs depending on the color rendering index. With a differentiated luminaire design in combination with a new class of nano materials, we have greatly improved the efficacy of warm white by 15% at the luminaire system level, which translates to less energy being required to achieve the same light output, and thus offers a more energy-efficient solution. Reliability test of the luminaire shows no performance degradation within the tested period of more than 3000 h. A modeling has been developed to predict the optical performance of luminaires incorporating the nano materials, which agrees well with the experimental data and serves as a powerful tool for designing luminaires with targeted performance.

With the aim of gathering temporal trends on bacterial epidemiology and resistance from multiple laboratories in China, the CHINET surveillance system was organized in 2005. Antimicrobial susceptibility testing was carried out according to a unified protocol using the Kirby-Bauer method or automated systems. Results were analyzed according to Clinical and Laboratory Standards Institute (CLSI) 2014 definitions. Between 2005 and 2014, the number of bacterial isolates ranged between 22 774 and 84 572 annually. Rates of extended-spectrum β-lactamase production among Escherichia coli isolates were stable, between 51.7 and 55.8%. Resistance of E. coli and Klebsiella pneumoniae to amikacin, ciprofloxacin, piperacillin/tazobactam and cefoperazone/sulbactam decreased with time. Carbapenem resistance among K. pneumoniae isolates increased from 2.4 to 13.4%. Resistance of Pseudomonas aeruginosa strains against all of antimicrobial agents tested including imipenem and meropenem decreased with time. On the contrary, resistance of Acinetobacter baumannii strains to carbapenems increased from 31 to 66.7%. A marked decrease of methicillin resistance from 69% in 2005 to 44.6% in 2014 was observed for Staphylococcus aureus. Carbapenem resistance rates in K. pneumoniae and A. baumannii in China are high. Our results indicate the importance of bacterial surveillance studies.